Hesitant fuzzy rough set over two universes and its application in decision making
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1882-3
Abstract: In this paper, we propose a general decision-making framework based on the HF rough set model over two universes. By a constructive approach, the HF rough set model over two universes is first presented and… read more here.
Keywords: fuzzy rough; two universes; hesitant fuzzy; rough set ... See more keywords
Neighborhood rough set reduction with fish swarm algorithm
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DOI: 10.1007/s00500-016-2393-6
Abstract: Feature reduction refers to the problem of deleting those input features that are less predictive of a given outcome; a problem encountered in many areas such as pattern recognition, machine learning and data mining. In… read more here.
Keywords: reduction; feature reduction; rough set; neighborhood rough ... See more keywords
On characterizations of a pair of covering-based approximation operators
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3321-8
Abstract: Granular computing is an emerging computing paradigm of information processing. Rough set theory is a kind of models of granular computing and is used to deal with the vagueness and granularity in information systems. Covering-based… read more here.
Keywords: approximation operators; covering upper; rough set; upper approximation ... See more keywords
Local multigranulation decision-theoretic rough set in ordered information systems
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DOI: 10.1007/s00500-019-03868-w
Abstract: As a generalized extension of Pawlak’s rough set model, the multigranulation decision-theoretic rough set model in ordered information systems utilizes the basic set assignment function to construct probability measure spaces through dominance relations. It is… read more here.
Keywords: rough; rough set; multigranulation decision; decision theoretic ... See more keywords
A computational formulation of distribution reducts in probabilistic rough set models
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DOI: 10.1007/s00500-020-04849-0
Abstract: Conceptual and computational formulations are the two sides of the theory of rough sets. Conceptual formulation focuses on the meaning and interpretation of the concepts. Computational formulation focuses on procedures and algorithms for constructing these… read more here.
Keywords: distribution reducts; formulation; computational formulation; rough set ... See more keywords
New filter approaches for feature selection using differential evolution and fuzzy rough set theory
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DOI: 10.1007/s00521-020-04744-7
Abstract: Nowadays the incredibly advanced developments in information technologies have led to exponential growth in the datasets with respect to both the dimensionality and the sample size. This trend can be easily illustrated in popular online… read more here.
Keywords: fuzzy rough; rough set; differential evolution; feature selection ... See more keywords
A new methodology for sustainability measurement of banks based on rough set theory
Sign Up to like & getrecommendations! Published in 2020 at "Central European Journal of Operations Research"
DOI: 10.1007/s10100-020-00698-2
Abstract: Sustainability measurement of banks is a complicated process, mainly dependent on the intuition of banking and sustainability experts. In this paper, a Decision Support System (DSS) is designed, which can accurately determine the corporate sustainability… read more here.
Keywords: methodology; sustainability measurement; rough set; banks based ... See more keywords
Updating approximations with dynamic objects based on local multigranulation rough sets in ordered information systems
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DOI: 10.1007/s10462-021-10053-9
Abstract: The main task of local rough set model is to avoid the interference of complicated calculation and invalid information in the formation of approximation space. In this paper, we first present a local rough set… read more here.
Keywords: information; local multigranulation; multigranulation rough; rough set ... See more keywords
Seismic vulnerability assessment of urban buildings using the rough set theory and weighted linear combination
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DOI: 10.1007/s11629-021-6724-4
Abstract: Seismic vulnerability assessment of urban buildings is among the most crucial procedures to post-disaster response and recovery of infrastructure systems. The present study proceeds to estimate the seismic vulnerability of urban buildings and proposes a… read more here.
Keywords: vulnerability assessment; seismic vulnerability; assessment urban; vulnerability ... See more keywords
A multi-balanced hybrid optimization technique to track objects using rough set theory
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DOI: 10.1007/s11760-016-0976-4
Abstract: In this paper, the process of object detection and tracking is performed by means of five stages, namely frame segregation, shot segmentation, shape and texture feature extraction, object detection in frames through rough set theory… read more here.
Keywords: balanced hybrid; set theory; multi balanced; rough set ... See more keywords
Improved convolutional neural network combined with rough set theory for data aggregation algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-1068-9
Abstract: Data aggregation is a crucial method to relieve the energy consumption in wireless sensor networks (WSNs). However, how to perform data aggregation while preserving data fidelity and confidentiality is a challenging research task. Since many… read more here.
Keywords: set theory; rough set; aggregation; data aggregation ... See more keywords